• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.1-11
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• 2017

The best business strategy leading to innovation and productivity can be achieved by carefully analyzing internal and external environments of a company. Many companies often require, but difficult to find a tool to determine their own internal/external environmental factors including strengths, weaknesses, opportunities and threats(SWOT). SWOT is one analytical base model that is utilized in this research to design semi-automated environmental analysis process. This study investigates on SWOT generation system that is built on existing analysis database created by experts in each field. Companies can search and choose their best expressing environmental elements that are stored in the database. This semi-automated SWOT tool is expected to contribute that companies can recognize their internal capabilities more accurately, and help consider external environment changes around them.

• Journal of KIISE:Software and Applications
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• v.35 no.9
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• pp.538-546
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• 2008

It has limits that system administrator deals with many problems occurred in systems because computing environments are increasingly complex. It is issued that systems have an ability to recognize system's situations and adapt them by itself in order to resolve these limits. But it requires much experiences and knowledge to build the Self-Adaptive System. The difficulty that builds the Self-Adaptive System has been problems. This paper proposes a technique that generates automatically the codes of the Self-Adaptive System in order to make the system to be built more easily. This Self-Adaptive System resolves partially the problems about ineffectiveness of the exceeded usage of the system resource that was previous research's problem and incorrect operation that is occurred by external factors such as virus. In this paper, we applied the proposed approach to the file transfer module that is in the video conferencing system in order to evaluate it. We compared the length of the codes, the number of Classes that are created by the developers, and development time. We have confirmed this approach to have the effectiveness.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.412-421
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• 2000

In spite that the main contents of mathematical and scientific learning are understanding principles and their applications, most of existing educational softwares are based on rote learning, thus resulting in limited educational effects. In the artificial intelligence research, some progress has been made in developing automatic tutors based on proving and simulation, by adapting the techniques of knowledge representation, search and inference to the design of tutors. However, these tutors still fall short of being practical and the turor, even a prototype model, for learning problem solving is yet to come out. The geometry problem-solving tutor proposed by this research involves dynamic inference performed in parallel with learning. As an ontology for composing the problem space within a real-time setting, we have employed the notions of propositions, hypotheses and operators. Then we investigated the mechanism of interactive learning of problem solving in which the main target of inference involves the generation and the test of these components. Major accomplishment from this research is a practical model of a problem tutor embedded with a series of inference techniques for algebraic manipulation, which is indispensable in geometry problem solving but overlooked by previous research. The proposed model is expected to be applicable to the design of problem tutors in other scientific areas such as physics and electric circuitry.

• The Journal of the Acoustical Society of Korea
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• v.23 no.2
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• pp.173-179
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• 2004

Due to the insufficiency of training data in large vocabulary continuous speech recognition, similar context dependent phones can be clustered by decision trees to share the data. When the decision trees are built and used to predict unseen triphones, a phonetic question set is required. The phonetic question set, which contains categories of the phones with similar co-articulation effects, is usually generated by phonetic or linguistic experts. This knowledge-based approach for generating phonetic question set, however, may reduce the homogeneity of the clusters. Moreover, the experts must adjust the question sets whenever the language or the PLU (phone-like unit) of a recognition system is changed. Therefore, we propose a data-driven method to automatically generate phonetic question set. Since the proposed method generates the phone categories using speech data distribution, it is not dependent on the language or the PLU, and may enhance the homogeneity of the clusters. In large vocabulary speech recognition experiments, the proposed algorithm has been found to reduce the error rate by 14.3%.

• The Korean Journal of Physiology and Pharmacology
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• v.22 no.2
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• pp.113-125
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• 2018

Exosomes are membranous vesicles of 30-150 nm in diameter that are derived from the exocytosis of the intraluminal vesicles of many cell types including immune cells, stem cells, cardiovascular cells and tumor cells. Exosomes participate in intercellular communication by delivering their contents to recipient cells, with or without direct contact between cells, and thereby influence physiological and pathological processes. They are present in various body fluids and contain proteins, nucleic acids, lipids, and microRNAs that can be transported to surrounding cells. Theragnosis is a concept in next-generation medicine that simultaneously combines accurate diagnostics with therapeutic effects. Molecular components in exosomes have been found to be related to certain diseases and treatment responses, indicating that they may have applications in diagnosis via molecular imaging and biomarker detection. In addition, recent studies have reported that exosomes have immunotherapeutic applications or can act as a drug delivery system for targeted therapies with drugs and biomolecules. In this review, we describe the formation, structure, and physiological roles of exosomes. We also discuss their roles in the pathogenesis and progression of diseases including neurodegenerative diseases, cardiovascular diseases, and cancer. The potential applications of exosomes for theragnostic purposes in various diseases are also discussed. This review summarizes the current knowledge about the physiological and pathological roles of exosomes as well as their diagnostic and therapeutic uses, including emerging exosome-based therapies that could not be applied until now.

• Journal of Korean Library and Information Science Society
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• v.39 no.4
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• pp.125-147
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• 2008

Due to the rapid changes of information environment, the libraries are needed to consider not only analog resources but also digital resources for collection development policy to fit the digital age. However, the libraries have difficulties to build digital collection development policy for collecting and archiving the digital resources because different from the analog resources, characteristics of digital information resources are not contained in physical medium and not allowed ownership but remote access by licensing. Especially, national libraries that have the mission to collect, preserve and transmit knowledge and cultural heritage to the next generation face even more serious challenges. This study intends to figure out the core elements of digital collection development policy through comparison of domestic and overseas national library policies tried to overcome the difficulties.

• Journal of Intelligence and Information Systems
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• v.15 no.4
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• pp.123-140
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• 2009

Fuzzy neural network is an integrated model of artificial neural network and fuzzy system and it has been successfully applied in control and forecasting area. Recently ANFIS(Adaptive Network-based Fuzzy Inference System) has been noticed widely among various fuzzy neural network models because of outstanding performance of control and forecasting accuracy. ANFIS has capability to refine its fuzzy rules interactively with human expert. In particular, when we use initial rule structure for machine learning which is generated from human expert, it is highly probable to reach global optimum solution as well as shorten time to convergence. We propose metrics to evaluate interpretability of generated rules as a means of acquiring domain knowledge and compare level of interpretability of ANFIS fuzzy rules to those of C5.0 classification rules. The proposed metrics also can be used to evaluate capability of rule generation for the various machine learning methods.

• Journal of Navigation and Port Research
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• v.28 no.10 s.96
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• pp.843-850
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• 2004

This study introduces a new cruise ship design model with residence concept by carrying out a specific design procedure on the regionally and culturally characterized cruise model. Cruise ship design requires a combined approach with architectural design skills, shipbuilding techniques and even the knowledge of business management. Contrary to the traditional cargo ship design in which the design of residence area on the top of cruise ship is performed first and then the lower part of the ship structure is determined as a final step, a top-down procedure for the conceptual ship design is adopted.

• Journal of Korean Library and Information Science Society
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• v.41 no.2
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• pp.127-145
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• 2010

Outsourcing, importing of publishing metadata and revitalizing copy cataloging have reduced importance of traditional cataloging. Request of interoperability between other communities and business integration of related system also have changed the meaning of library catalog. Furthermore, newly declared principle and rules are totally different to existing AACR, MARC, measures to cataloging education for next generation seems to be urgently needed. In this study, firstly put together a series of discussion about future cataloging and new role of cataloging librarian, and secondly basis on it, suggest direction of cataloging education course which divided two sectors. One is for students who are undergraduated, and another is for current cataloger at working level. In basic training, it should contain principle of knowledge organization and diverse resources and its relationship, encoding scheme and its practice. The other hand, in re-education training, it should include that re-recognition about new concept of bibliographic world, changing vocabulary and encoding scheme, furthermore metadata scheme about diverse resources which library have accepted, and its integration.

• Proceedings of the KWS Conference
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• 2002.10a
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• pp.355-360
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• 2002

ElectroSlag Strip Overlaying (ESSO) process has been around since 1970. ESSO process had limited acceptance due to a few problems associated with the use of this process in its very early stage. Limited knowledge and, most significantly, poor quality of the equipment and welding flux gave the ESSO process a bad name. However, this process is well accepted today and used in North America, Europe and Japan. The ESSO process provides low dilution overlays at high deposition rates, excellent and consistent deposit chemistry with excellent surface quality, and virtually no defects. Capitan has taken this process one step further through extensive research and development of the process itself as well as the equipment. The improvement brought to the process warranted the issuance in May 2000 of an US patent. This study demonstrates the feasibility of this process with immediate positive production results. The main achievements of this work are as follows: $\textbullet$ Development of six various strip-flux combinations on three different base materials: carbon steel, $\frac{1}{4}$ Cr/.5 Mo and 2 $\frac{1}{4}$ Cr/l Mo, fully tested with: penetrant, ultrasound, bends, hardness, overlay chemistry, corrosion and hydrogen disbonding. $\textbullet$ 12" dia. 90 hot formed elbows from straight pipe electroslag overlayed with "1 layer" and "2 layer" Alloy 625 $\textbullet$ a very unique development of miniaturized overlaying equipment able to perform overlay in pipe with diameters as low as 10" (254 mm). This development has large applications in the field of offshore, petrochemical, refining, pulp and paper and power generation industries. The aftermath of this development was its immediate acceptance by major end users with the completion of four projects of overlayed pipe in the USA and Far East Asia.